Sriram Neelamegham's Avatar

Sriram Neelamegham

@neel-lab.bsky.social

Professor, University at Buffalo: Molecular/cell engineering, glycans, informatics, human diseases, and anything science related.

48 Followers  |  63 Following  |  3 Posts  |  Joined: 11.03.2025  |  1.6929

Latest posts by neel-lab.bsky.social on Bluesky

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Assistant Professor/Associate Professor, Oral Biology The University at Buffalo School of Dental Medicine (SDM) invites applications from qualified early- to mid-career oral health scientists and/or clinician-scientists for a full-time tenure track acade...

❗️❗️❗️👄👄 #MOUTH 👄👄 🦷🦷 #TEETH 🦷🦷 💧💧 #SALIVA 💧💧🦠🦠 #MICROBIOME🦠🦠 🍭🍭 #glycotime 🍭🍭 ❗️❗️❗️

❗️We are hiring❗️Check out this full-time tenure track academic faculty position in the #UBSDM's Department of Oral Biology.

ms.spr.ly/6045sKrT9

03.08.2025 20:14 — 👍 2    🔁 3    💬 0    📌 0
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Trump administration blocks NIH from awarding any research grants and contracts The order applies to the entirety of new and, possibly, ongoing research grant dollars that go to universities and academic medical centers.

“… immediately halt the issuing of research grants, research and development contracts, and training awards during a “pause” of unspecified duration. “

www.statnews.com/2025/07/29/t...

30.07.2025 02:24 — 👍 0    🔁 1    💬 1    📌 0
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GLYCAN ATLASSING: NANOSCALE ANALYSIS OF GLYCOCALYX ARCHITECTURE ENABLES FUNCTIONAL TRACING OF CELL STATE 🍭🔬🧬
Don’t judge a book by its cover - judge a cell by its cover! We can now trace how cell state is encoded in glycocalyx state. #glycotime #microscopy

www.biorxiv.org/content/10.1...

02.05.2025 08:52 — 👍 21    🔁 11    💬 8    📌 1
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Ångström-resolution imaging of cell-surface glycans - Nature Nanotechnology By combining bioorthogonal metabolic labelling and resolution enhancement through sequential imaging of DNA barcodes, the molecular organization of individual sugars in the native glycocalyx has been ...

New paper online:

Ångström-resolution imaging of cell-surface glycans.

The molecular organization of sugars in the native #glycocalyx has been resolved at 9 ångström using bioorthogonal metabolic labeling and #superresolution imaging of DNA barcodes.

#Glycotime

www.nature.com/articles/s41...

28.07.2025 09:44 — 👍 35    🔁 19    💬 2    📌 3
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Protein engineering strategies to develop lectins by design Abstract. Glycans regulate a wide array of biological processes, making them central to studies of cell biology. Thus, it is essential to characterize the

Happy to share 3rd paper in a series on glycoT engineering. Prior work in Small (pubmed.ncbi.nlm.nih.gov/40417887) & Nature Commun. (pubmed.ncbi.nlm.nih.gov/40681527/), and most recent in Glycobiology: "Protein engineering strategies to develop lectins by design": academic.oup.com/glycob/artic...

24.07.2025 05:14 — 👍 1    🔁 0    💬 0    📌 0
Mammalian Cell Surface Display for High‐Throughput Protein Engineering of Glycosyltransferases You have to enable JavaScript in your browser's settings in order to use the eReader.

Sharing link to our paper on high throughput engineering of glycosyltransferases— you can use it to study structure-function relations, discover disease associated mutations, make super enzymes with unique properties etc.: onlinelibrary.wiley.com/share/VGWXBG...

09.07.2025 14:37 — 👍 0    🔁 0    💬 0    📌 0
Transformer-based Deep Learning for Glycan Structure Inference from Tandem Mass Spectrometry Glycans play critical roles in diverse biological processes, but their structural analysis by tandem mass spectrometry (MS/MS) remains a major challenge due to their branched structure and stereochemistry. Traditional computational methods, such as database searching, are constrained by the scope of existing libraries and can be computationally intensive. While recent deep learning models have advanced the field, they often struggle to capture the complex, long-range dependencies within MS/MS spectra required for accurate inference. To address these challenges, we present GlycoBERT and GlycoBART, novel transformer-based models for glycan structure prediction from MS/MS data. GlycoBERT, a sequence classifier, achieves 95.1% structural accuracy on test data, surpassing the current state-of-the-art deep learning model, CandyCrunch. However, classification-based methods are inherently limited to predicting structures present in the training data. To overcome this, we developed GlycoBART, a generative sequence-to-sequence model capable of de novo glycan inference. On independent validation datasets, both models demonstrate robust performance. Critically, when applied to an MS/MS dataset from human embryonic kidney cells, GlycoBART generated two de novo glycan structures absent from the training set, one of which is a novel structure not catalogued in major glycan databases. Together, GlycoBERT and GlycoBART establish a new benchmark for glycan analysis, offering a powerful framework that enables more accurate and comprehensive exploration of glycan diversity and discovery. ### Competing Interest Statement The authors have declared no competing interest. National Heart Lung and Blood Institute, https://ror.org/012pb6c26, HL103411

Link to our collaboration with Rudi Gunawan on using deep learning for glycomics: www.biorxiv.org/content/10.1...

08.07.2025 03:18 — 👍 2    🔁 1    💬 0    📌 0
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FEBS Press The H antigen (O blood group), the precursor to A and B blood groups, is expressed on human erythrocytes. Two novel monoclonal antibodies generated using sea lamprey immunization, Tn4-31L and OmcFL3-...

📢New article alert! 'Blood group O expression in normal tissues and tumors', just published in FEBS Journal, highlights findings using our lamprey-derived monoclonal antibodies towards specific H antigen epitopes.
Read at: febs.onlinelibrary.wiley.com/doi/10.1111/...
#glycotime #glycans #bloodgroups

07.07.2025 23:59 — 👍 5    🔁 2    💬 0    📌 0

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